Software Development Engineer II

Expedia Expedia · Hospitality · CA

Software Development Engineer II at Expedia Group to build and evolve scalable, AI-ready experiences and services for travel planning, focusing on improving traveler engagement, planning success, and conversion. The role involves designing, developing, testing, and operating software services, collaborating with cross-functional teams, and safely integrating AI/ML-enabled solutions into products.

What you'd actually do

  1. Design, develop, test, and operate moderately complex software services and components, including system design (low-level design), API design, and data modeling within an established technical domain.
  2. Deliver high-quality, maintainable code by applying standard engineering practices (code reviews, unit/integration testing, CI/CD) and contributing to the improvement of team development workflows.
  3. Analyze functional and non-functional requirements to implement reliable, observable, and secure services, participating in on-call or production support as appropriate for your team.
  4. Collaborate with product, program, and peer engineering teams to break down requirements, estimate work, and ship incremental value as part of an agile delivery process across multiple related services.
  5. Safely integrate and operate AI/ML-enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products.

Skills

Required

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • Professional software development experience that demonstrates ownership of one or more services or components, typically including experience beyond entry-level (e.g., prior experience delivering production features end to end).
  • Proficiency in at least one modern programming language and ecosystem, with hands-on experience in system design (LLD), API design, and data modeling for service-oriented or microservice-based architectures.
  • Experience building, testing, and operating backend or full-stack services in a production environment using standard engineering practices such as version control, automated testing, and continuous integration/deployment.
  • Familiarity with AI-driven systems, tools, or workflows and the ability to work with AI/ML‑enabled components safely within existing services.

Nice to have

  • Proficiency with core web technologies (such as HTML, CSS, and JavaScript) and experience integrating with APIs and basic data models that support web functionality.
  • Experience designing and implementing complex web interfaces or modules that operate reliably at scale across multiple products or domains.
  • Demonstrated ability to define low-level designs, API interactions, and data structures for web features, and to influence technical approaches within a team.
  • Experience instrumenting web applications with analytics, monitoring, and logging to inform data-driven decisions and operational excellence.
  • Experience integrating or consuming AI/ML-powered capabilities in web applications, and safely operating AI-augmented tools or workflows to improve developer productivity or customer outcomes.

What the JD emphasized

  • Safely integrate and operate AI/ML-enabled solutions
  • familiarity with AI-driven systems, tools, or workflows
  • applying AI/ML concepts to real world products
  • Experience integrating or consuming AI/ML-powered capabilities in web applications
  • safely operating AI-augmented tools or workflows

Other signals

  • AI/ML-enabled solutions
  • AI-driven systems
  • AI/ML concepts
  • AI-augmented tools